#enterprise-ai
AI at enterprise scale: operating models, platforms, and pace.
Tagged articles (33)

Agentic AI: Strip Away the Hype and Understand the Real Strategic Choice
Agentic AI is this year's poster child, and most of the confusion is about what agents actually do. The Board's decision is strategic, not technical.

After the AI Amnesty: Practical Steps to Operationalise Discovered Shadow AI
After the amnesty, speed matters: employees who disclosed expect enablement, not restriction. A roadmap for turning discovered shadow AI into governed capability.

Shadow AI and the Case for an AI Amnesty
Shadow AI is surging and most employees would use AI tools without permission. An AI amnesty turns that hidden risk into governed, employee-validated innovation.

UK AI Energy Constraints: From Niche Concern to Investment Banking Focus
When Goldman Sachs says power, not capital, is AI's bottleneck, energy stops being a niche concern. UK Boards pay four times their competitors' energy costs.

How Agentic AI Turns Your Biggest Tech Problem into Competitive Advantage
The legacy estate that constrains agentic AI is also its largest opportunity. Retiring technical debt is what clears the path for autonomous systems.

AI Centre of Excellence: Future-proofing Through Continuous Evolution
The AI landscape moves faster than any governance framework. An AI Centre of Excellence stays relevant only if continuous evolution is designed in.

AI Centre of Excellence: Scaling Beyond Pilots to Enterprise Transformation
Successful pilots mask a harder problem: scaling them into enterprise-wide transformation. After the first 90 days, the AI Centre of Excellence's real test begins.

AI Centre of Excellence: Building Capabilities That Scale With AI Adoption
An AI Centre of Excellence earns its keep through capability, not governance paperwork: Five Pillars capabilities built to match a multi-speed organisation.

AI Centre of Excellence: Designing Structure for Multi-Speed Governance
Organisations adopt AI at different speeds, so one governance structure cannot fit them all: designing an AI Centre of Excellence for that multi-speed reality.

AI Centre of Excellence: The Essential Functions of the Five Pillars
An AI Centre of Excellence earns its mandate through eighteen essential functions across the Five Pillars. Without them, governance is a name on a chart.

AI Centre of Excellence: Moving Beyond Shadow AI Risk to Scaled AI Adoption
AI makes millions of decisions at speeds traditional oversight cannot match, and shadow AI adds unmanaged risk: the case for an AI Centre of Excellence.

Transforming the Board: Using Decision Analytics for Strategic Advantage
Decision analytics moves the Board from backward-looking metrics to predictive indicators that model possible futures, and changes how directors exercise judgement.
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